A machine learning method with threshold based parallel feature fusion and feature selection for automated gait recognition

M Sharif, M Attique, MZ Tahir, M Yasmim… - … of Organizational and …, 2020 - igi-global.com
Gait is a vital biometric process for human identification in the domain of machine learning.
In this article, a new method is implemented for human gait recognition based on accurate …

Kernel-Based Fuzzy Local Binary Pattern for Gait Recognition

AG Binsaadoon, ESM El-Alfy - 2016 European Modelling …, 2016 - ieeexplore.ieee.org
Gait recognition has received increasing attention in biometrics. However, more effort is
needed to enhance the performance. In this paper, we investigate a novel descriptor for gait …

Novel signal processing approach for gait based human identification system

A Singhal, B Lall - 2013 INTERNATIONAL CONFERENCE ON …, 2013 - ieeexplore.ieee.org
Humans can be identified at a distance using gait as a biometric. In this paper, we propose a
novel set of features extracted from a walking sequence of a person, which include the …

[图书][B] Person recognition using gait energy imaging

AO Lishani - 2018 - search.proquest.com
Biometric technology has emerged as a viable identification and authentication solution with
various systems in operation worldwide. The technology uses various modalities, including …

[PDF][PDF] MODEL-BASED 3D GAIT BIOMETRIC USING QUADRUPLE FUSION CLASSIFIER

NORSB RAZALI - 2017 - core.ac.uk
The area of gait biometrics has received significant interest in the last few years, largely due
to the unique suitability and reliability of gait pattern as a human recognition technique. The …

Fusion of Multiscale Region-Based Fuzzy Features for Gait Recognition

AGA Binsaadoon - 2017 - search.proquest.com
Gait recognition has become a popular research problem gaining importance for human
identification based on walking style. It has emerged as an attractive research problem due …